World's Best Scientists 2026 revealed!
Brian W. Baetz

Brian W. Baetz

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5698
World Ranking
8673
National Ranking
349

Brian W. Baetz publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Brian W. Baetz sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 116 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Brian W. Baetz D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Brian W. Baetz sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Brian W. Baetz is affiliated with McMaster University in Canada and has contributed extensively to research in Environmental Science and Engineering, with a focus on water systems and related fields. Their work spans several subfields, including Water Science and Technology, Global and Planetary Change, Environmental Engineering, Civil and Structural Engineering, and Ocean Engineering.

The scientist's research covers a broad range of topics, as reflected in their recent publications and research interests. These topics include:

  • Water-Energy-Food Nexus Studies
  • Hydrology and Watershed Management Studies
  • Hydrological Forecasting Using AI
  • Flood Risk Assessment and Management
  • Hydrology and Drought Analysis
  • Urban Stormwater Management Solutions
  • Water Systems and Optimization

Brian W. Baetz has published several research papers in prominent journals. Selected recent publications include:

  • Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study, 2022, Journal of Membrane Science
  • Assessment of climate change impacts on energy capacity planning in Ontario, Canada using high-resolution regional climate model, 2020, Journal of Cleaner Production
  • A Stepwise Clustered Hydrological Model for Addressing the Temporal Autocorrelation of Daily Streamflows in Irrigated Watersheds, 2022, Water Resources Research
  • Uncertainty Analysis for Hydrological Models With Interdependent Parameters: An Improved Polynomial Chaos Expansion Approach, 2021, Water Resources Research
  • Development of a Wilks feature importance method with improved variable rankings for supporting hydrological inference and modelling, 2021, Hydrology and Earth System Sciences

The main publication venues for their work include:

  • Water Resources Research
  • Journal of Cleaner Production
  • INTED proceedings
  • Journal of Membrane Science
  • Hydrology and Earth System Sciences

Brian W. Baetz frequently collaborates with other researchers, including Zhong Li, Guohe Huang, Shuo Wang, Guanhui Cheng, and Kailong Li. These collaborators have co-authored multiple papers with Baetz, indicating ongoing partnerships in their fields of study.

Best Publications

  • A GREY LINEAR PROGRAMMING APPROACH FOR MUNICIPAL SOLID WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY

    Guohe Huang;Brian W. Baetz;Gilles G. Patry

  • Grey integer programming: An application to waste management planning under uncertainty

    Guo H. Huang;Brian W. Baetz;Gilles G. Patry

  • A GREY FUZZY LINEAR PROGRAMMING APPROACH FOR MUNICIPAL SOLID WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY

    Unknown

  • EVALUATING PEDESTRIAN CONNECTIVITY FOR SUBURBAN SUSTAINABILITY

    Todd A. Randall;Brian W. Baetz

  • Using GIS for Evaluation of Neighborhood Pedestrian Accessibility

    Lisa Aultman-Hall;Matthew Roorda;Brian W. Baetz

  • Sizing of Rainwater Storage Units for Green Building Applications

    Yiping Guo;Brian W. Baetz

  • Grey Dynamic Programming for Waste‐Management Planning under Uncertainty

    Guo H. Huang;Brian W. Baetz;Gilles G. Patry

  • Grey fuzzy integer programming: An application to regional waste management planning under uncertainty

    G.H. Huang;B.W. Baetz;G.G. Patry

  • How a carbon tax will affect an emission-intensive economy: A case study of the Province of Saskatchewan, Canada

    Lirong Liu;Charley Z. Huang;Guohe Huang;Brian Baetz

  • CAPACITY PLANNING FOR AN INTEGRATED WASTE MANAGEMENT SYSTEM UNDER UNCERTAINTY: A NORTH AMERICAN CASE STUDY

    G.H. Huang;B.W. Baetz;G.G. Patry;V. Terluk

  • Optimization/Simulation Modeling for Waste Management Capacity Planning

    Brian W. Baetz

  • Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study

    Unknown

  • Violation analysis for solid waste management systems: an interval fuzzy programming approach

    Y.F. Huang;B.W. Baetz;B.W. Baetz;G.H. Huang;L. Liu;L. Liu

  • GREY QUADRATIC PROGRAMMING AND ITS APPLICATION TO MUNICIPAL SOLID WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY

    G. H. Huang;B. W. Baetz;G. G. Patry

  • A random forest model for inflow prediction at wastewater treatment plants

    Pengxiao Zhou;Zhong Li;Spencer Snowling;Brian W. Baetz

  • Trash-Flow Allocation: Planning Under Uncertainty

    G. H. Huang;B. W. Baetz;G. G. Patry

  • DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR MUNICIPAL SOLID WASTE MANAGEMENT SYSTEMS PLANNING

    K.D. Barlishen;B.W. Baetz

  • LYSIMETER WASHING OF MSW INCINERATOR BOTTOM ASH

    J.A. Stegemann;J. Schneider;B.W. Baetz;K.L. Murphy

  • Environmentally-extended input-output simulation for analyzing production-based and consumption-based industrial greenhouse gas mitigation policies

    Lirong Liu;Guohe Huang;Brian Baetz;Kaiqiang Zhang

  • A factorial ecologically-extended input-output model for analyzing urban GHG emissions metabolism system

    Lirong Liu;Guohe Huang;Brian Baetz;Charley Z. Huang

  • Environmental input-output analysis and its application to regional solid-waste management planning

    Guo H. Huang;William P. Anderson;Brian W. Baetz

  • Estimating the stormwater attenuation benefits derived from planting four monoculture species of deciduous trees on vacant and underutilized urban land parcels

    M.C. Kirnbauer;B.W. Baetz;W.A. Kenney

Frequent Co-Authors

Guohe Huang
Guohe Huang University of Regina
Yiping Guo
Yiping Guo McMaster University
Yurui Fan
Yurui Fan Brunel University London
Zhu Liu
Zhu Liu Tsinghua University
Yuefei Huang
Yuefei Huang Tsinghua University
Ximing Cai
Ximing Cai University of Illinois at Urbana-Champaign
Matthew J. Roorda
Matthew J. Roorda University of Toronto
Shan Zhao
Shan Zhao University of Alabama
Ioannis K. Tsanis
Ioannis K. Tsanis Technical University of Crete
Hua Zhang
Hua Zhang City University of Hong Kong

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